A 144M-parameter System One model on the multilingual mmBERT-small encoder. Takes a state, a question and 2 to 20 options and returns one decision with probabilities for choice, score and yes/no questions, on a CPU.
Together AI's Jev-style classifier. A LoRA fine-tune of Qwen3.5-4B that reads a state, a question and 2 to 24 options and returns one option letter. Served on Together's platform; recipe published.
Decides
choice, score, noul, classify, route
choice, classify, route
Architecture
julia
tev
Fine-tuned from
jhu-clsp/mmbert-small
qwen/qwen3.5-4b
License
apache-2.0
Unspecified — weights licence being finalised
Availability
Open weights
Open weights + hosted API
Hosted by
—
Together AI
Input price
—
$0.042/MTok
Decision accuracy
73.2%
88.0%
Calibration error
—
—
Valid action rate
—
—
Median latency
—
—
p95 latency
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Evaluation suite
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between julia-1 and tev1?
julia-1 is from Supersonic Labs and tev1 from Together AI. julia-1 has open weights you can download and run; tev1 has open weights and a hosted API. Both answer choice, classify and route questions. Only julia-1 answers score and noul. julia-1 is the smaller model, at 144M parameters to 4.0B. julia-1 is licensed apache-2.0; tev1, other.
Which is more accurate, julia-1 or tev1?
They report on different suites — julia-1 73.2% on typed-decisions test set (400 cases, 2,000 questions), tev1 88.0% on Together development set (reused, not held out) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, julia-1 or tev1?
julia-1: Free (open weights). tev1: $0.042 / $0 per 1M, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run julia-1 or tev1 locally?
Yes, both: systemone pull supersonic-labs/julia-1 and systemone pull together-ai/tev1 download the weights.
typed-decisions test set (400 cases, 2,000 questions)
